Improving dictionary-based code compression in VLIW architectures

Abstract

Reducing code size is crucial in embedded systems as well as in high-performance systems to overcome the communication bottleneck between memory and CPU, especially with VLIW (Very Long Instruction Word) processors that require a high-bandwidth instruction prefetching. This paper presents a new approach for dictionary-based code compression in VLIW processor-based systems using isomorphism among instruction words. After we divide instruction words into two groups, one for opcode group and the other for operand group, the proposed compression algorithm is applied to each group for maximal code compression. Frequently-used instruction words are extracted from the original code to be mapped into two dictionaries, an opcode dictionary and an operand dictionary. According to the SPEC95 benchmarks, the proposed technique has achieved an average code compression ratio of 63%, 69%, and Sire in a 4-issue, X-issue, and 12-issue VLIW architecture, respectively.